Data Scientist

If you have a “win as a team” mentality, are passionate and like to have fun, then Fishbrain is the place for you!
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Are you looking for the next step in your career? Do you want to work in a rapidly growing company and form the digital future for the world's largest hobby? Then we could be just what you are fishing for!

Did you know that fishing is the world’s most popular hobby? We do! And here at Fishbrain we have created the world’s largest social network dedicated to people who love fishing. We want to make sure that we can give them the greatest experience possible and make their fishing dreams come true, today and tomorrow.

We have over 12 million users all over the world who have logged more than 10 million catches in our app. We’re growing rapidly, both in our social network and in the company, which is why we’re looking for a Data Scientist to join our pond. We hope that it’s you.

In this role you will be part of the Machine Learning and Data team. You will have a big impact on the practice and strategy of our machine learning and data science. The analysis you do and the product you build will have a great impact in the company and also on our users.

Please submit applications in English, those that are not will not be reviewed.


What You’ll Do

  • Cooperate with cross-functional product teams of engineers, product managers, and designers who are passionate about our user experience
  • Bring your ideas to production together with product teams or by yourself using docker, AWS or GCP
  • Perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product and design decisions
  • Be a key partner in our work to build our ubiquity strategy


Who You Are

  • Relevant experience of minimum 2 years, with a degree in computer science, statistics, mathematics, physics, engineering or other quantitative subject area.
  • Strong interpersonal skills and are comfortable working with multiple stakeholders
  • Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights
  • Strong programming skills in Python, SQL and experience with popular machine/deep learning packages
 (e.g. scikit-learn, tensorflow/pytorch)
  • Statistical competence (such as regression modeling, a/b testing, significance testing etc)
  • Experience with or knowledge of:
    • Cloud platforms such as AWS or Google Cloud (for example BigQuery)
    • The theoretical foundations of machine learning models and algorithms, such as generalized linear models, random forests and other ensemble methods, deep neural networks, etc.
  • Strong interest in learning new things such as different technologies.


This role is located at our headquarters in Stockholm. We are remote friendly. 


Our Bait We have trust in our employees which means that 1. you will be given a lot of responsibility from day one and 2. we value your opinions and ideas. No matter the team, everything we do has an impact on our users and on Fishbrain as a company. Our culture is very important to us. If you have a “win as a team” mentality, are passionate and like to have fun, then Fishbrain is the place for you!


Feeling hooked? Throw us a line!

Or, know someone who would be a perfect fit? Let them know!

Some of your colleagues

Stockholm

Drottninggatan 26
111 51 Stockholm Directions job@fishbrain.com View page

Perks & Benefits

We come in all shapes and sizes and so do our perks & benefits!

  • TECHNOLOGY OF YOUR CHOICE

    Because we know people can be quite picky about this stuff. Windows or Mac, you decide.

  • 30 DAYS ANNUAL VACATION

    Each year you’ll get 30 days vacation to use however, whenever. Catch some sun, a few fish, or both -- you decide.

  • WELLNESS BONUS

    You’re more than a brain and a set of fingers typing. At Fishbrain you’ll get an annual allowance to put towards anything in the realm of health and fitness.

Our Culture

Some of us fish, some of us love the outdoors, but all of us are united in building the best fishing experience. We have 70+ employees, boasting 30 different nationalities from 6 continents.

 

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